500-420 Exam Dumps - Cisco AppDynamics Associate Performance Analyst(CAAPA)

Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.

References:

• AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
• AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.

The permission to enable snapshot archiving in AppDynamics typically falls under advanced operational capabilities, such as those categorized under "Agent Advanced Operation." This permission allows users to archive transaction snapshots for long-term storage and analysis, which is essential for historical performance analysis and auditing purposes.

References:

• AppDynamics documentation on Role-Based Access Control: Explains the different permissions and roles within AppDynamics, including those related to advanced agent operations and snapshot archiving.

When drilling down into a JDBC exit call for an Oracle backend, AppDynamics provides detailed information about the call. The data points include:

• Query type, which can indicate whether it's a SELECT, INSERT, UPDATE, or DELETE statement.
• Statement type, which describes the nature of the SQL statement being executed.
• Originating node, which identifies the node from which the JDBC call originated.

These data points help in understanding the nature and source of database operations, which can be critical for performance analysis and troubleshooting.

References:

• AppDynamics documentation on Database Monitoring: